Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge

The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretical implications. The text then examines interactive simulations, existing CAI traditions, and learning environments.

The manuscript elaborates on knowledge communication, didactics, and diagnosis. Topics include knowledge presentation and communication, pedagogical contexts, target levels of didactic operations, behavioral and epistemic diagnosis, and aspects of diagnostic experience.

The publication is a dependable reference for researchers interested in the computational and cognitive approaches to the communication of knowledge.

[From the Back Cover]

This remarkable volume is the first comprehensive reference text in the dynamic area of intelligent tutoring systems. It provides a comprehensive survey of research since the early 1970s, highlighting the field's major themes and assessing the current state of the art.

Adopting the perspective of the communication of knowledge, the author addresses practical issues involved in designing instructional systems as well as theoretical questions raised by investigating computational methods of knowledge communication. By weaving together the goals, contributions, and fascinating challenges of intelligent tutoring system development, this timely book reveals the emergence of an important field.

Useful as a text in courses on intelligent tutoring systems or computer-aided instruction, Artificial Intelligence and Tutoring Systems can serve as an introduction for newcomers to the field and as a reference for researchers and practitioners.